Showing 381-400 of 1,525 projects
This repository provides a PyTorch implementation for monocular depth estimation from a single image.
A self-supervised learning framework for computer vision tasks with a focus on contrastive learning.
A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.
A large-scale non-linear optimization library for computer vision and other scientific applications.
Microsoft BASIC for 6502 Microprocessor - a historical assembly language repository focused on retro computing.
This repository contains a collection of classic programming books and ebooks for various computer science topics.
JetKVM is a remote control system that allows you to control any computer from anywhere.
OpenCV bindings for Node.js, enabling computer vision and image processing in Node applications.
LightGlue is a high-performance local feature matching library for computer vision tasks like pose estimation.
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
Collection of research papers on computational advertising techniques like CTR prediction and recommender systems.
HTTrack Website Copier is a C-based tool for offline browsing, allowing developers to create local copies of websites.
OptiKey is a C# library for full computer control and speech with your eyes.
A curated list of papers and resources for 3D reconstruction from images, useful for computer vision and motion estimation.
A computationally efficient and robust LiDAR-inertial odometry (LIO) package for robotics and autonomous systems.
A comprehensive self-study plan for computer science, focusing on software engineering and system architecture.
This project reproduces the book 'Dive Into Deep Learning' by adapting the code from MXNet into PyTorch.
Fast C++ inference engine for Transformer models, supporting CUDA, MKL, and other optimizations.
A C++ interface for portability across different heterogeneous computing platforms like CUDA and HIP.
An open-source, camera-only framework for autonomous driving perception tasks like 3D object detection and semantic map segmentation.
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